Senior Data Scientist

What you'll do - Advanced Analytics & Machine Learning Delivery: Lead the design, development and deployment of machine learning, optimisation and measurement solutions that solve complex business challenges and deliver measurable commercial value. - Data Science Product Development: Build and maintain scalable data science products, including predictive models, forecasting solutions, segmentation, recommendation engines and experimentation frameworks that support business decision-making. - Data Engineering & Model Productionisation: Develop robust analytical datasets and machine learning pipelines using Databricks, Python, SQL and Spark, ensuring solutions are scalable, reliable and production-ready. - Stakeholder Partnership & Commercial Impact: Partner with business stakeholders to define hypotheses, success measures and value metrics, translating analytical insights into actionable recommendations that improve commercial outcomes. - Experimentation & Measurement Leadership: Lead experimentation, testing and measurement initiatives, using statistical methods and causal inference techniques to evaluate business performance and impact. - Technical Leadership & Team Development: Mentor Data Scientists and Analysts, sharing best practices across modelling, experimentation, coding standards and commercial problem solving. - Data Science Strategy & Innovation: Contribute to the data science roadmap, champion best practices and develop innovative retail-focused solutions across areas such as pricing, forecasting, customer behaviour and operational efficiency. What you'll bring - Advanced Data Science Experience (5-8 Years): Strong hands-on experience delivering machine learning, statistical modelling, optimisation and advanced analytics solutions within commercial environments. - Python, SQL & Data Platform Expertise: Advanced Python and SQL skills, with experience building reproducible machine learning workflows using Databricks, Spark or similar large-scale data processing technologies. - Machine Learning & Statistical Expertise: Deep understanding of supervised and unsupervised machine learning, feature engineering, model evaluation, experimentation and performance monitoring techniques. - Retail & Commercial Analytics: Experience applying data science in retail, consumer, grocery, apparel or other high-volume environments, delivering solutions that support business performance and decision-making. - Experimentation & Value Measurement: Experience designing, executing and interpreting experiments, measurement frameworks and analytical initiatives that deliver measurable business value. - Stakeholder Engagement & Communication: Ability to translate business challenges into analytical solutions and communicate complex findings through clear, compelling recommendations. - Leadership & Continuous Improvement: Experience mentoring colleagues, driving best practices and contributing to the growth, innovation and maturity of a high-performing Data Science function.